Gosselin Lab
@GosselinLabo
Frédéric Gosselin's lab @ University of Montreal // Studying face, object and scene recognition using behavioral methods, eye-tracking and neuroimaging
ID:1024377732841578497
31-07-2018 19:34:18
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New paper from the lab now out in PNAS Nexus : Decoding face recognition abilities in the human brain. With Simon Faghel-Soubeyrand, Ph.D., Ian Charest & al.
I'm delighted to share with you this Journal Club I wrote for Nature Reviews Psychology on an experimental method that greatly influenced my field and my own research: reverse correlation (and the bubbles method proposed by Gosselin Lab and PhilippeSchyns)! ⬇️⬇️
Our paper Reclassifying guesses to increase SNR in psychological experiments is now published in Behavior Research Methods! t.ly/8Xbyq Tremendous work by Gosselin Lab for which I had the pleasure of playing a small part. This can be applied to *many* datasets. [1/3]
New preprint from the lab with Simon Faghel-Soubeyrand, Ph.D.: We studied the brain computations of 'Super-recognisers' using decoding and deep learning models; we reveal that mid-level visual and late semantic processes are enhanced in these individuals with superior face recognition abilities.
I show with Marge Livingstone and talia konkle how 'face cells' owe their face selectivity to a graded tuning for domain-general attributes rather than to face-specific features such as face parts! biorxiv.org/content/10.110…
Check out this cool preprint from a lab alumnus Laurent Caplette: a generalization of reverse correlation in terms of both inputs (stimuli made of random CNN features) and outputs (label responses mapped to semantic features) to reconstruct *a lot* of representations.
Congratulations to PhD student from the lab Simon Faghel-Soubeyrand, Ph.D. for winning a the #MAIN2021 graduate abstract award! Another prize (best postdoctoral award) was also won by a lab alumni, Laurent Caplette; Félicitations à vous deux!
New paper out in Frontiers - Psychology : Psychophysical features for face-age categorization. In collaboration with Juliane Kloess Ian Charest College of Life and Environmental Sciences Simon Faghel-Soubeyrand, Ph.D.
🌟JOB ALERT: Two Lecturer posts. We are excited to announce that we have 2 open academic positions for R&T in Cognitive NeuroImaging/Computational Modelling CCNi_UofGlasgow @UofGPsychology. Closing date: 27 Sept 2021. Please RT.
See at my.corehr.com/pls/uogrecruit…
It is official🚨: I am joining the department of Psychiatry and Addictology at Université de Montréal! I will be studying the subjective experience of emotions using real-time brain imaging and machine learning. A big thank you to everyone who made this dream come true!
Our preprint is now published in the Journal of Neuroscience Methods @DiGiovanniJNMTH
'Probing machine-learning classifiers using noise, bubbles, and reverse correlation'
authors.elsevier.com/c/1dWIcbXTOznPM
Led by Etienne Thoret and with Damien Léger and Daniel Pressnitzer!